Primeros pasos en R

R para Ciencia de Datos en Salud:
Análisis Descriptivo e Inferencia Estadística

Percy Soto-Becerra M.D., M.Sc(c)

InkaStats Data Science Solutions | Medical Branch
@github/psotob91

Agosto 06, 2022

Installe R, R Studio y R tools


Si aún no ha instalado R y RStudio, revise el tutorial de instalación de R que hemos preparado para el curso: Enlace aquí.

  • Pause el video, instale y vuelva cuando todo esté listo.

Antes de usar R, configure su ambiente de trabajo


  • Paso 1: Cree una carpeta de trabajo .

    • En donde quiera. Sea ordenado.

  • Paso 2: Abra RStudio .

  • Paso 3: Cree un proyecto y vincule el proyecto con la carpeta nueva.

    • A partir de este momento, la carpeta que contiene el archivo .Rproj es denominada carpeta raíz.

    • Todo lo que ocurra en R partirá de la carpeta raíz en adelante.

  • Paso 3: Comience a trabajar. Puede usar R scripts o R Markdown / Quarto.

    • Nosotros usaremos Quarto.

Nuestro turno


  • Cree una carpeta de trabajo en Documentos, llámela mi_primer_proyecto.
  • Cree un proyecto de Rstudio y ubíquelo en la carpeta nueva mi_primer_proyecto.
  • Cree el primer script de R, anote lo siguiente: "# Este es mi primer script de R" y guárdelo como mi_primer_script.r.
  • Cree el primer archivo .qmd de Quarto, anote lo siguiente: "# Este es mi primer archivo quarto" y guárdelo como mi_primer_quarto.qmd.
  • Verifique que los archivos han sido creados y se encuentran en la carpeta raíz mi_primer_proyecto.




02:00

R es una calculadora


  • En su nivel más básico, R es una calculadora:
  • Suma:
3 + 8
[1] 11
  • Resta:
3 - 8
[1] -5
  • Multiplicación
3 * 8
[1] 24
  • División
3 * 8
[1] 24
  • Potencia:
3 ^ 3 # ^ se obtiene mediante: ALT + 94
[1] 27
  • Raíz cuadrada:
sqrt(16)
[1] 4
  • Otra raíz
8 ^ (1 / 3) # Raíz cúbica
[1] 2
  • Operación combinada
15 + (64 - 60) ^ (1/2)
[1] 17
  • Logaritmo natural:
log(12) # log es logaritmo natural o neperiano
[1] 2.484907
  • Logaritmo base 10:
log10(100)
[1] 2
  • Exponencial
exp(2)
[1] 7.389056
  • pi
pi
[1] 3.141593
  • Mayor que:
5 > 4
[1] TRUE
  • Menor igual que:
6 <= 3
[1] FALSE
  • Igualdad:
7 == 7
[1] TRUE
  • Diferente:
8 != 5
[1] TRUE

R es más que una simple calculadora


  • Pero…, R es más que solo una calculadora…

  • R es un lenguaje compuesto por “palabras”.

  • Las palabras son objetos en R:

    • Todo (casi) es un objeto.

  • Los verbos de R son las funciones:

    • Ejecutan acciones sobre otros objetos.

    • Los objetos sobre los que recae la acción se incluyen entre paréntesis.

  • Estructura general de una función:
ejecuta_accion(sobre_esto)
ejecuta_accion(sobre_esto, hacia_eso, con_esto)
  • Dos funciones usuales son install.packages y library, las cuales instalan y cargan un paquete, respectivamente:
install.packages("package_name")
library(package_name)

Ayuda en R


  • La documentación acerca de una función puede ser consultada mediante ?
?library

Cargar conjunto de datos de R

  • Se pueden importar de diversas fuentes: MS Excel, .csv, .txt, Stata, SAS, SPSS, etc.

  • Algunos paquetes cuentan también con datos en formato de R: *.RData o .rds.

  • Importar datos de paquetes:

library(medicaldata)
data(covid_testing)
  • Consultar por descrpción de la data
?covid_testing
  • Ver un resumen de los datos
head(covid_testing)
# A tibble: 6 × 17
  subject_id fake_first_name fake_last_name gender pan_day test_id clinic_name  
       <dbl> <chr>           <chr>          <chr>    <dbl> <chr>   <chr>        
1       1412 jhezane         westerling     female       4 covid   inpatient wa…
2        533 penny           targaryen      female       7 covid   clinical lab 
3       9134 grunt           rivers         male         7 covid   clinical lab 
4       8518 melisandre      swyft          female       8 covid   clinical lab 
5       8967 rolley          karstark       male         8 covid   emergency de…
6      11048 megga           karstark       female       8 covid   oncology day…
# … with 10 more variables: result <chr>, demo_group <chr>, age <dbl>,
#   drive_thru_ind <dbl>, ct_result <dbl>, orderset <dbl>, payor_group <chr>,
#   patient_class <chr>, col_rec_tat <dbl>, rec_ver_tat <dbl>

Operador esenciales de R base

  • En un conjunto de datos, permite seleccionar la columna de interés.

  • Por ejemplo, género de los participantes:

covid_testing$gender
    [1] "female" "female" "male"   "female" "male"   "female" "male"   "female"
    [9] "male"   "male"   "male"   "female" "female" "male"   "female" "female"
   [17] "male"   "male"   "female" "female" "female" "male"   "female" "male"  
   [25] "female" "male"   "female" "male"   "female" "female" "male"   "female"
   [33] "female" "female" "female" "female" "male"   "female" "male"   "female"
   [41] "female" "male"   "male"   "female" "female" "male"   "male"   "male"  
   [49] "male"   "female" "female" "female" "male"   "male"   "male"   "male"  
   [57] "female" "female" "female" "female" "male"   "male"   "male"   "female"
   [65] "female" "female" "male"   "female" "male"   "female" "male"   "male"  
   [73] "female" "female" "female" "male"   "male"   "male"   "female" "male"  
   [81] "female" "female" "female" "female" "female" "male"   "female" "male"  
   [89] "male"   "male"   "male"   "female" "male"   "male"   "female" "female"
   [97] "female" "female" "male"   "male"   "male"   "female" "male"   "female"
  [105] "female" "female" "male"   "male"   "female" "male"   "male"   "male"  
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  [137] "male"   "male"   "male"   "male"   "male"   "female" "female" "male"  
  [145] "male"   "female" "male"   "female" "female" "male"   "male"   "male"  
  [153] "female" "female" "female" "male"   "female" "male"   "male"   "female"
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[14889] "male"   "male"   "female" "female" "male"   "female" "female" "female"
[14897] "female" "male"   "male"   "female" "male"   "female" "male"   "female"
[14905] "male"   "male"   "female" "male"   "female" "female" "male"   "female"
[14913] "female" "male"   "female" "female" "male"   "female" "male"   "male"  
[14921] "male"   "female" "male"   "female" "male"   "female" "male"   "female"
[14929] "female" "female" "male"   "male"   "female" "male"   "male"   "female"
[14937] "male"   "female" "female" "female" "male"   "male"   "male"   "male"  
[14945] "female" "male"   "male"   "female" "male"   "male"   "female" "female"
[14953] "male"   "female" "male"   "female" "male"   "male"   "female" "male"  
[14961] "male"   "female" "female" "male"   "female" "male"   "female" "male"  
[14969] "male"   "male"   "female" "male"   "female" "female" "male"   "female"
[14977] "female" "female" "female" "female" "male"   "male"   "male"   "female"
[14985] "female" "male"   "male"   "female" "male"   "female" "male"   "female"
[14993] "male"   "female" "male"   "female" "female" "female" "female" "female"
[15001] "male"   "male"   "female" "female" "female" "female" "female" "female"
[15009] "female" "male"   "female" "male"   "female" "male"   "female" "female"
[15017] "male"   "male"   "female" "male"   "male"   "female" "male"   "male"  
[15025] "female" "female" "male"   "female" "male"   "male"   "female" "female"
[15033] "female" "male"   "female" "female" "female" "female" "male"   "male"  
[15041] "male"   "female" "female" "female" "female" "male"   "female" "male"  
[15049] "male"   "male"   "male"   "male"   "female" "male"   "male"   "male"  
[15057] "male"   "female" "female" "female" "female" "female" "male"   "female"
[15065] "male"   "female" "male"   "male"   "male"   "female" "male"   "male"  
[15073] "male"   "male"   "female" "male"   "male"   "male"   "male"   "male"  
[15081] "female" "male"   "male"   "female" "male"   "female" "male"   "female"
[15089] "female" "female" "female" "female" "female" "female" "male"   "female"
[15097] "female" "female" "male"   "male"   "male"   "male"   "female" "male"  
[15105] "female" "female" "male"   "male"   "male"   "female" "male"   "female"
[15113] "female" "female" "female" "female" "male"   "female" "male"   "male"  
[15121] "male"   "male"   "female" "male"   "female" "female" "male"   "male"  
[15129] "male"   "male"   "female" "female" "female" "female" "male"   "female"
[15137] "male"   "female" "male"   "female" "male"   "male"   "male"   "male"  
[15145] "female" "female" "male"   "female" "female" "female" "female" "male"  
[15153] "male"   "female" "female" "male"   "female" "male"   "male"   "male"  
[15161] "male"   "male"   "female" "male"   "male"   "female" "female" "female"
[15169] "male"   "male"   "male"   "male"   "male"   "female" "male"   "female"
[15177] "male"   "female" "male"   "female" "male"   "male"   "female" "female"
[15185] "female" "male"   "male"   "female" "female" "female" "male"   "female"
[15193] "male"   "male"   "female" "female" "female" "male"   "male"   "male"  
[15201] "male"   "female" "male"   "female" "female" "female" "male"   "female"
[15209] "male"   "male"   "male"   "male"   "female" "male"   "male"   "female"
[15217] "male"   "female" "female" "female" "male"   "female" "female" "female"
[15225] "male"   "female" "male"   "male"   "male"   "female" "female" "male"  
[15233] "male"   "female" "male"   "male"   "male"   "female" "male"   "male"  
[15241] "male"   "male"   "female" "female" "male"   "female" "female" "female"
[15249] "male"   "female" "female" "male"   "male"   "male"   "female" "female"
[15257] "male"   "female" "female" "male"   "female" "female" "female" "male"  
[15265] "male"   "male"   "male"   "female" "male"   "male"   "male"   "female"
[15273] "male"   "female" "male"   "female" "female" "male"   "female" "female"
[15281] "female" "female" "female" "male"   "female" "female" "male"   "male"  
[15289] "male"   "female" "female" "male"   "female" "female" "male"   "male"  
[15297] "female" "female" "male"   "male"   "male"   "female" "male"   "male"  
[15305] "male"   "female" "male"   "male"   "female" "female" "male"   "female"
[15313] "male"   "male"   "female" "male"   "female" "female" "female" "female"
[15321] "male"   "female" "male"   "male"   "female" "female" "female" "male"  
[15329] "female" "male"   "female" "female" "female" "female" "female" "female"
[15337] "male"   "male"   "female" "female" "female" "male"   "male"   "male"  
[15345] "male"   "female" "female" "male"   "male"   "female" "female" "female"
[15353] "male"   "male"   "male"   "male"   "female" "male"   "female" "male"  
[15361] "female" "female" "male"   "female" "female" "male"   "male"   "male"  
[15369] "female" "female" "female" "female" "male"   "male"   "male"   "female"
[15377] "male"   "male"   "male"   "female" "male"   "female" "male"   "male"  
[15385] "male"   "male"   "female" "female" "female" "female" "male"   "male"  
[15393] "male"   "male"   "male"   "male"   "male"   "female" "male"   "female"
[15401] "female" "male"   "female" "male"   "male"   "female" "male"   "female"
[15409] "female" "male"   "male"   "female" "male"   "male"   "male"   "female"
[15417] "male"   "female" "female" "male"   "male"   "female" "female" "female"
[15425] "female" "female" "female" "male"   "female" "male"   "male"   "female"
[15433] "male"   "male"   "female" "female" "male"   "male"   "male"   "male"  
[15441] "female" "female" "male"   "female" "female" "male"   "female" "female"
[15449] "male"   "female" "male"   "female" "female" "male"   "male"   "male"  
[15457] "male"   "male"   "male"   "female" "male"   "female" "male"   "male"  
[15465] "male"   "male"   "male"   "female" "female" "female" "female" "female"
[15473] "female" "female" "female" "male"   "female" "male"   "male"   "male"  
[15481] "female" "female" "male"   "female" "male"   "female" "male"   "female"
[15489] "female" "female" "male"   "female" "female" "female" "male"   "male"  
[15497] "male"   "female" "male"   "male"   "female" "female" "male"   "female"
[15505] "male"   "male"   "female" "female" "male"   "male"   "female" "female"
[15513] "male"   "female" "male"   "male"   "male"   "female" "female" "female"
[15521] "female" "female" "male"   "female"
  • O la edad:
head(covid_testing$age)
[1] 0.0 0.0 0.8 0.8 0.8 0.8

  • <- representa una flecha que se lee: “asignar a”

  • Permite guardar un objeto con un nombre dado

genero <- covid_testing$gender

  • El objeto se guarda en el Environment.

  • Luego, lo puedes llamar utilizando el nombre con el que lo guardaste.

genero
    [1] "female" "female" "male"   "female" "male"   "female" "male"   "female"
    [9] "male"   "male"   "male"   "female" "female" "male"   "female" "female"
   [17] "male"   "male"   "female" "female" "female" "male"   "female" "male"  
   [25] "female" "male"   "female" "male"   "female" "female" "male"   "female"
   [33] "female" "female" "female" "female" "male"   "female" "male"   "female"
   [41] "female" "male"   "male"   "female" "female" "male"   "male"   "male"  
   [49] "male"   "female" "female" "female" "male"   "male"   "male"   "male"  
   [57] "female" "female" "female" "female" "male"   "male"   "male"   "female"
   [65] "female" "female" "male"   "female" "male"   "female" "male"   "male"  
   [73] "female" "female" "female" "male"   "male"   "male"   "female" "male"  
   [81] "female" "female" "female" "female" "female" "male"   "female" "male"  
   [89] "male"   "male"   "male"   "female" "male"   "male"   "female" "female"
   [97] "female" "female" "male"   "male"   "male"   "female" "male"   "female"
  [105] "female" "female" "male"   "male"   "female" "male"   "male"   "male"  
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  [129] "female" "female" "male"   "female" "female" "female" "female" "male"  
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  [177] "female" "female" "male"   "male"   "female" "female" "female" "female"
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  [633] "female" "female" "female" "male"   "male"   "male"   "male"   "female"
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  [705] "male"   "male"   "female" "female" "female" "female" "female" "male"  
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  [721] "male"   "male"   "female" "female" "female" "male"   "female" "female"
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  [745] "female" "female" "male"   "female" "male"   "female" "female" "female"
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  [769] "male"   "female" "male"   "male"   "female" "male"   "male"   "male"  
  [777] "female" "female" "female" "female" "female" "male"   "female" "female"
  [785] "male"   "female" "female" "female" "male"   "male"   "male"   "male"  
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  [857] "female" "male"   "male"   "female" "female" "male"   "female" "female"
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 [1001] "male"   "female" "male"   "male"   "male"   "male"   "female" "female"
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[15481] "female" "female" "male"   "female" "male"   "female" "male"   "female"
[15489] "female" "female" "male"   "female" "female" "female" "male"   "male"  
[15497] "male"   "female" "male"   "male"   "female" "female" "male"   "female"
[15505] "male"   "male"   "female" "female" "male"   "male"   "female" "female"
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[15521] "female" "female" "male"   "female"

Nuestro turno


  • En el script previamente creado mi_primer_script.r, escriba las siguientes operaciones matemáticas: cinco más ocho; tres por 23; veinte elevado al cubo; setenta y tres entre cinco. Ejecute el código y mire el resultado en la consola.

  • Copie las operaciones matemáticas escritas en mi_primer_script.r sobre mi_primer_quarto.qmd.

  • El código debe colocarse como chunk de código par que pueda ejecutarse. Ejecute el código de cada chunk.

  • Compare las salidas del mi_primer_script.r y de mi_primer_quarto.qmd.

  • Instale y cargue el paquete {tidyverse} y el paquete {medicaldata}.

  • Consulte la ayuda de la función filter del paquete {dplyr} de {tidyverse}.

  • Descargue el conjunto de datos theoph_ de la libería {medicaldata}.

  • Seleccion la columna Dose y asignelo a un objeto nuevo llamado dosis.


03:00

Introducción a R y RStudio